Evidence map›Paper›PMID 41764647›Full record

ArticleAnalytical chemistry2026

Identification of Recombinant Adeno-Associated Virus Serotypes by Matrix-Assisted Laser Desorption/Ionization Mass Spectrometry.

Ryoji Nakatsuka, Kenjiro Matsumoto, Yannan Liu, Kimitoshi Takeda, Yasuo Tsunaka, Tetsuo Torisu, Yuki Yamaguchi, Susumu Uchiyama

Abstract read
In one paragraph

Article in Analytical chemistry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Ryoji NakatsukaDepartment of Biotechnology, Graduate School of Engineering, The University of Osaka, 2-1 Yamadaoka, Suita, Osaka 565-0871, Japan.
Kenjiro MatsumotoU-Medico Inc., 2-1 Yamadaoka, Suita, Osaka 565-0871, Japan.
Yannan LiuDepartment of Biotechnology, Graduate School of Engineering, The University of Osaka, 2-1 Yamadaoka, Suita, Osaka 565-0871, Japan.
Kimitoshi TakedaU-Medico Inc., 2-1 Yamadaoka, Suita, Osaka 565-0871, Japan.
Yasuo TsunakaDepartment of Biotechnology, Graduate School of Engineering, The University of Osaka, 2-1 Yamadaoka, Suita, Osaka 565-0871, Japan.ORCID 0000-0002-7366-7610
Tetsuo TorisuDepartment of Biotechnology, Graduate School of Engineering, The University of Osaka, 2-1 Yamadaoka, Suita, Osaka 565-0871, Japan.ORCID 0000-0002-8269-7803
Yuki YamaguchiDepartment of Biotechnology, Graduate School of Engineering, The University of Osaka, 2-1 Yamadaoka, Suita, Osaka 565-0871, Japan.ORCID 0000-0001-7856-4031
Susumu UchiyamaDepartment of Biotechnology, Graduate School of Engineering, The University of Osaka, 2-1 Yamadaoka, Suita, Osaka 565-0871, Japan.ORCID 0000-0002-5181-179X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recombinant adeno-associated viruses (rAAVs) are widely used as vectors for gene therapy because they can target specific tissues, exhibit low immunogenicity, and have the capacity for long-term transgene expression. The rAAV serotype determines its tropism, therapeutic efficacy, and suitability for specific clinical applications. Moreover, new mutant serotypes have emerged through capsid engineering approaches. Accurate serotype identification is therefore essential for optimizing vector design and ensuring successful therapeutic outcomes. Conventional methods for identifying rAAV serotypes, such as the enzyme-linked immunosorbent assay, often involve complex procedures and rely on specialized reagents, including antibodies. Meanwhile, liquid chromatography-tandem mass spectrometry-based peptide mapping faces challenges in terms of quality control. These limitations highlight the need for more efficient and practical approaches to streamline the identification of rAAV serotypes. This report proposes a methodology for rAAV serotype identification using matrix-assisted laser desorption/ionization mass spectrometry (MALDI-MS) with new scoring algorithm. The developed method can distinguish multiple rAAV serotypes, including mutant serotypes, by analyzing the specific peptide mass fingerprints of each serotype. This approach eliminates the need for antibodies or extensive sample preparation, thereby offering a reagent-free and cost-effective alternative to conventional methods. Moreover, MALDI-MS requires small sample quantities, making it suitable for high-throughput screening, which can facilitate the development of tailored gene therapy vectors. This study highlights the importance of integrating advanced analytical technologies into gene therapy to enhance precision, reduce costs, and ultimately improve patient outcomes.

Indexed as

DependovirusSpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationGenetic VectorsHumansSerogroupSerotyping

Identifiers

PMID41764647
PMCPMC13000878

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.